the simulation data files are structured as follows:

Time course data:

Prefix "n" in the file's name means that the enzymes in the simulation were 
unjoined, "s" that they were joined together. the number after the prefix means
how many times more competing enzymes than the studied enzymes there were in the 
simulation. For example, if there are 20 ADO enzymes, if the number is 2X, there were
40 competing enzymes in the simulation.
Each row has one substrate's time course data that is comma-separated. Each row
contains one thousand(1000) values. You can load these values with for example MATLAB
or Octave. Then you can plot beautiful figures from this data (though you might have to transpose
the data in MATLAB and/or Octave before plotting, though). This data is 
compressed as well as averaged, i.e. the original time course data (100 000 data points/substrate)
has been compressed by first making this data into the average of 8 simulations
and after that taking the average of every 100 data points and creating 1000
new data points from this. This makes the data much easier to work with,
as well as much more compact and smoother, as the stochastic nature of the
simulation is diminished with multiple runs of the same simulation.

Substrate intermediate time data:

The filename begins with the prefix "times".
Prefix "n" in the file's name means that the enzymes in the simulation were 
unjoined, "s" that they were joined together. the number after the prefix means
how many times more competing enzymes than the studied enzymes there were in the 
simulation. For example, if there are 20 ADO enzymes, if the number is 2X, there were
40 competing enzymes in the simulation.
Each data file has the times that the substrates that were processed from initial
substrate to final product spent as middle product. The time data is comma-separated. 
These times are not averaged by any way, and are presented as a list collated from
mltiple (8) simulation runs. It is recommended to make either bar plots or distributions
from this data.